named-entity-recognition

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

💫 Industrial-strength Natural Language Processing (NLP) in Python

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

A very simple framework for state-of-the-art Natural Language Processing (NLP)

modest natural-language processing

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

An open source library for deep learning end-to-end dialog systems and chatbots.

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

State of the Art Natural Language Processing

Snips Python library to extract meaning from text

👩‍🏫 Advanced NLP with spaCy: A free online course

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Multi-Task Deep Neural Networks for Natural Language Understanding

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

🦙 Integrating LLMs into structured NLP pipelines

An elegent pytorch implement of transformers